Alternatives
Products that do what RadarEmploi does
Find companies hiring before they post job listings
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There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread (https://news.ycombinator.com/item?id=36163021), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from…
2023 · kadoa.com
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Tech-stack included
2023 · github.com
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Hi HN, I got tired of the existing means of finding jobs, so I created a platform that searches company job portals directly for the latest job postings. Originally it was meant for just software engineers, but I've expanded to a larger variety of careers. It's entirely free to use, you can create an account to keep track of the jobs you apply to with the job tracker. I'd love to hear what you all think, and what your experience has been as a job seeker. https://radar.jobs Thanks, Ross
2025 · radar.jobs
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(not sure why my previous post didn't appear on Show HN even though I included it in the title, mods please remove if not allowed) Ever applied for a job and never heard back? Many companies just go silent instead of sending rejection emails, leaving you guessing whether to keep waiting or move on. I faced this frustration during my own internship search, especially when there was no real point of contact (automated replies don't count, lol). So, I built didtheyghost.me, a simple open-source tool that crowdsources job application responses. This isn't a job scraper or another job board. It's…
2025 · didtheyghost.me
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I built a live interactive map that shows where top AI companies hire around the world. I collected this data for a hackathon project. Many ATS providers have a public API that you can hit with the slug of the companies to get open jobs. The hardest part was finding the companies. I tried Firecrawl but it returned around 200 companies per provider which wasn’t enough for me. Then, I tried SERPAPI but it was expensive. I ended up using SearXNG to discover companies by ATS type and fetch their job postings. This produced a large dataset of 200k+ jobs (I only use a subset as it would have taken…
Nov 2025 · map.stapply.ai
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I been building a view into companies based on their job postings. I am hoping it is useful to get a quick snapshot on the company say for interview prep etc. Please be advised that it is still a WIP in terms of data quality. Example urls: https://jobswithgpt.com/company-profiles/openai/ https://jobswithgpt.com/company-profiles/advanced-micro-devi...
Jan 2026
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Hello everyone, I got laid off last year and during the job hunt, I kept running into ghost jobs, these listings that never lead anywhere. Super frustrating. After some point, I started tracking company behavior across job boards. It snowballed into a little web app where you can actually see how companies are hiring — or pretending to. It's free, early stage, UI is a bit rough, but here’s what some info it shows per company: -Job boards they post on -ATS system they use -Median salary by role -Post frequency + how old the listings are -Skills and degree requirements -Track all existing…
2025 · app.ghostjobs.io
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Hello HN Community! I've transformed the "Ask HN: Who's hiring? (November 2023)" post into a Google Sheet. Here's a quick rundown of the method: I utilized the Hacker News Algolia Search API to extract data. You can find the specific thread URL here: https://hn.algolia.com/api/v1/search_by_date?tags=comment,st... Using a GET request, I fetched comments from the thread and processed them via the ChatGPT API. Employing the ChatGPT API for each comment, I parsed crucial job details such as company, position, location, and more. This information was structured and…
2023 · docs.google.com
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Hi all, I made this tool to sift through all the who's hiring posts. You'll need node / npm, but it works locally. It includes 2019 data. In the future, I hope to include all who's hiring posts with better graphs to visualize it. You can download it and play with it from here: https://github.com/vishaldpatel/jobstats And if you do, I'd love feedback! Including code feedback. There's some stuff that I haven't followed. Thank you! - V
2019
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Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
2024 · hnjobsai.vercel.app
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